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    Home / Central Data Catalog / MICS / PAK_2017_MICS-PUN_V01_M / variable [F1]
MICS

Multiple Indicator Cluster Survey 2017-2018, Punjab

Pakistan, 2017 - 2018
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Reference ID
PAK_2017_MICS-PUN_v01_M
Producer(s)
Bureau of Statistics, United Nations Children’s Fund
Collection(s)
UNICEF Multiple Indicator Cluster Surveys (MICS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
103340
Downloads
18144
  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • hl
  • hh
  • wm
  • bh
  • mn
  • ch
  • fs
  • mm

Districts (hh7)

Data file: hl

Overview

Valid: 330027
Invalid: 0
Minimum: 1
Maximum: 36
Type: Discrete
Decimal: 2
Start: 111
End: 115
Width: 5
Range: 1 - 36
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bahawalpur 8584
2.6%
2 Bahawalnagar 8515
2.6%
3 Ry khan 10961
3.3%
4 Dg khan 7713
2.3%
5 Layyah 6464
2%
6 Muzaffargarh 9739
3%
7 Rajanpur 5602
1.7%
8 Faisalabad 18232
5.5%
9 Chiniot 5285
1.6%
10 Jhang 8564
2.6%
11 Tt singh 7300
2.2%
12 Gujranwala 13685
4.1%
13 Gujrat 9862
3%
14 Hafizabad 5933
1.8%
15 Mandi bahauddin 10528
3.2%
16 Narowal 6462
2%
17 Sialkot 10257
3.1%
18 Lahore 19378
5.9%
19 Kasur 8298
2.5%
20 Nankana sahib 6049
1.8%
21 Sheikhupura 9296
2.8%
22 Multan 15352
4.7%
23 Khanewal 8499
2.6%
24 Lodhran 5965
1.8%
25 Vehari 8429
2.6%
26 Rawalpindi 15868
4.8%
27 Attock 9011
2.7%
28 Chakwal 8166
2.5%
29 Jhelum 6273
1.9%
30 Sahiwal 7721
2.3%
31 Okara 7732
2.3%
32 Pakpattan 5650
1.7%
33 Sargodha 9389
2.8%
34 Bhakkar 9106
2.8%
35 Khushab 6155
1.9%
36 Mianwali 10004
3%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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